Metabolic markers for mitochondrial function
线粒体功能的代谢标志物
基本信息
- 批准号:8697051
- 负责人:
- 金额:$ 50.87万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2011
- 资助国家:美国
- 起止时间:2011-09-20 至 2016-06-30
- 项目状态:已结题
- 来源:
- 关键词:1-Methyl-4-phenyl-1,2,3,6-tetrahydropyridine1-Methyl-4-phenylpyridiniumAbbreviationsAddressAdenosine TriphosphateAffectAgeAmino AcidsAnimal ModelAnimalsBiological MarkersBiologyBloodBlood - brain barrier anatomyBrainCalciumCellsChronicChronic DiseaseClinical MarkersComplexCytosolDefectDetectionDiseaseEarly DiagnosisEnvironmentEnvironmental ExposureExposure toFunctional disorderHeterogeneityHumanIndividualInjuryInterventionLeadLinkMass Spectrum AnalysisMeasurableMeasurementMeasuresMetabolicMetabolic DiseasesMetabolic MarkerMethodologyMitochondriaModelingMonoamine OxidaseNanostructuresNoiseOxidation-ReductionOxidative PhosphorylationPatternPreventive InterventionProductionPropertyPropionic AcidsResolutionRespirationRodentRotenoneSamplingSignal TransductionSorting - Cell MovementStagingSymptomsSynaptosomesSystemTechniquesTechnologyTestingTissuesToxic Environmental SubstancesToxic effectToxicant exposureToxinUbiquitinUrineVariantbasebrain cellcell motilitycell typedopamine transporterfunctional declinein vivomitochondrial dysfunctionmouse modelmulticatalytic endopeptidase complexnervous system disordernew technologyoxidative damagepreventresponsetool
项目摘要
ABSTRACT
Mitochondrial (MT) dysfunction is a factor in numerous chronic diseases and the toxicity related to
environmental exposures, but early deficits in MT function are difficult to detect. Current clinical markers for
mitochondrial dysfunction typically detect only advanced symptoms of tissue injury and disease, yet the
sensitivity to detect mild MT dysfunction and heterogeneity within tissue has hampered robust identification of
meaningful biomarkers at early stages. Mitochondrial biology is variable; and chronic, low level MT dysfunction
may be below the detection sensitivity of many techniques. We need new tools to enhance the mechanistic
understanding of environmentally-induced mitochondrial toxicity at early stages to enable prevention and
intervention. To address this problem, we have developed and applied a new technology for single cell mass
spectrometry, called Nanostructure-Initiator Mass Spectrometry (NIMS). NIMS has both the single cell
resolution (1-10 ¿m) and the high sensitivity (attomolar) needed to detect early biomarkers of MT dysfunction
as metabolic "signatures" in individual cells. NIMS offers a number of advantages over standard mass
spectrometry, including (1) ultra-high sensitivity, (2) high selectivity, and (3) single cell resolution to reduce
sample complexity. We apply NIMS to identify metabolic signatures for early MT dysfunction in the brain and
blood of diseased animals or animals treated with environmental toxins at "subclinical" levels. In Aim 1, we use
NIMS to generate metabolic signatures for MT decline. In Aim 2, we will functionally test whether the biomarker
reflects functional changes in MT or MT within the context of the cell. NIMS can be applied to any tissue and
any cell type, to quantitatively sort out complex changes that occur in dynamic cellular environments, and
minimizes the inherent system heterogeneity that has confounded efforts in detecting meaningful markers of
MT decline.
摘要
线粒体(MT)功能障碍是许多慢性疾病的一个因素,其毒性与
环境暴露,但MT功能的早期缺陷很难检测到。目前的临床标记物
线粒体功能障碍通常只能检测到组织损伤和疾病的晚期症状,但
对检测轻度MT功能障碍和组织内异质性的敏感性阻碍了对
早期阶段有意义的生物标志物。线粒体生物学是可变的;慢性、低水平MT功能障碍
可能低于许多技术的检测灵敏度。我们需要新的工具来增强机械性
在早期阶段了解环境诱导的线粒体毒性,以便能够预防和
干预。为了解决这个问题,我们开发并应用了一种新的单细胞质量技术
光谱分析,称为纳米结构引发质谱学(NIMS)。NIMS既有单细胞
分辨率(1-10?m)和高灵敏度(大气压)需要检测MT功能障碍的早期生物标志物
作为个体细胞的新陈代谢“信号”。与标准质量相比,NIMS具有许多优势
光谱学,包括(1)超高灵敏度,(2)高选择性,(3)降低单细胞分辨率
样本复杂性。我们应用NIMS来识别大脑和大脑中早期MT功能障碍的代谢特征
患病动物的血液或用“亚临床”水平的环境毒素处理的动物的血液。在目标1中,我们使用
NIMS将为MT下降生成代谢特征。在目标2中,我们将从功能上测试生物标记物
反映MT或MT在细胞环境中的功能变化。NIMS可以应用于任何组织和
任何细胞类型,以定量地分类动态蜂窝环境中发生的复杂变化,以及
最大限度地减少固有的系统异质性,这种异质性阻碍了检测有意义的标记的努力
Mt下降。
项目成果
期刊论文数量(0)
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Cynthia Therese McMurray其他文献
Cynthia Therese McMurray的其他文献
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{{ truncateString('Cynthia Therese McMurray', 18)}}的其他基金
Predicting neurodegeneration in living patients by IR imaging of skin fibroblasts
通过皮肤成纤维细胞的红外成像预测活体患者的神经退行性变
- 批准号:
10433612 - 财政年份:2022
- 资助金额:
$ 50.87万 - 项目类别:
Novel Spectral Biomarkers for Alzheimer's Disease
阿尔茨海默病的新型光谱生物标志物
- 批准号:
10359211 - 财政年份:2021
- 资助金额:
$ 50.87万 - 项目类别: